On 12/6/06, Giorgio Luciano <[EMAIL PROTECTED]> wrote:
> Today I've also posted a question to scipy groups because I've thought
> I've found a solution but
>
> this work good
>
> bar(N, b1[:,0], width, color='r', yerr=binterv)
> ############
> s3=find(sig1[:,arange(ini,c)]<=0.001)
Just a few tips before I answer your question.
Is sig1 a global constant? It is a good practice to write constant
names in uppercase. Otherwise consider passing it as a function
argument.
> b1=b.flatten()
> #if s3!=[]:
if s3:
...
> for i3 in arange(len(s3)):
Although this works, a no-surprise way is to use standard xrange:
for i3 in xrange(len(s3)): ...
or enumerate:
for i3, elem in enumerate(s3): ...
> text(s3[i3], b1[s3[i3]+ini],'***')
> s2=find(logical_and(sig1[:,arange(ini,c)]>0.001,sig1[:,arange(ini,c)]<=0.01))
Boolean operators are also ok, just remember about parentheses and
operators priority:
(sig1[:,arange(ini,c)]>0.001) & (sig1[:,arange(ini,c)]<=0.01)
> for i2 in arange(len(s2)):
> text(s2[i2], b1[s2[i2]+ini],'**')
> s1=find(logical_and(sig1[:,arange(ini,c)]>0.01,sig1[:,arange(ini,c)]<=0.05))
> for i1 in arange(len(s1)):
> text(s1[i1], b1[s1[i1]+ini],'*')
> title('Plot of the coefficients of the model')
>
> and when i uncomment the ifs3!=[] part it does not...
I think you have just discovered a bug or it's an inconsistency I
didn't know of?
>>> print numpy.array([1,1]) == [], numpy.array([1,1]) != []
False True
>>> print numpy.array([1]) == [], numpy.array([1]) != []
[] []
>>> print numpy.array([]) == [], numpy.array([]) != []
[] []
>>> numpy.__version__
'1.0'
> so in this case I've solve the problem.. but is there an equivalent for
> isempty matlab command in numpy ?
Just like for other Python objects:
if ifs3:
print "not empty"
or check if .size attribute is positive.
cheers,
fw
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